SLSQ227R141

Field Engineering, Lakebase Product Specialist

As the Lakebase Product Specialist, you will be defining our technical go to market strategy and driving our application stack adoption in the India region. 

You will be directly working with customers to guide and influence their application architecture and decisions. You will be expected to present, demo and pitch the Lakebase product suite and You will be acting as a trusted advisor for senior executives and your in-depth technical knowledge will ensure our customers are successful in leveraging Databricks to solve their business problems.

You will be the technical expert to support our field engineering teams internally and you will be expected to help enable the team to understand the key differentiators of our product against our competitors. You will partner with product managers to help to define the product direction based on local knowledge and inform our product strategy with our go-to-market field teams. You will not have any direct reports but will recruit and lead a group of specialists across the field dedicated to scale your impact. 

You will also be a thought leader externally to the market via speaking at conferences, online webinars, and blog posts. You will meet with customers to communicate the vision and gather feedback.

You have expertise in modern data application architectures and preferably industry domain knowledge. You will bring your in depth knowledge and experience of building production level data applications leveraging different technologies and patterns. You will excel in creating and articulating a compelling value proposition for our customers and enabling Account Executives and Field Engineers to operate effectively using best practices and assets that you own and develop.

The impact you will have:

• Lead the vision and strategy for Databricks Lakebase adoption in India
• Develop materials for our GTM team to effectively communicate our value proposition
• Support our field teams in key strategic pursuit opportunities
• Lead a team of subject matter experts (SMEs) to scale your impact in local regions and enable the broader field team to have confidence in competing in the market
• Act as the thought leader to build confidence and relationships with our customers at the executive level
• Present externally at conferences, events and webinars and publish content to establish our position in the market
• Work with post sales and partners to establish best practices
• Act as a cross-functional representative with Product Management, Product Marketing and Engineering on our go-to-market motion

What we look for:

• 6+ years of experience in application development and familiar with modern database architecture
• Deep technical knowledge with database technologies, e.g. Postgres, MySQL, Oracle, Aurora, RDS, etc.
• Deep technical understanding of the software engineering / data application development practices
• Trusted advisor to technical executives that inform strategic data decisions
• Proven track record of successful pre-sales experience in competitive situations
• Ability to define and executive strategic program cross functionally
• High impact communication internally and externally

FEQ227R53

As a Senior Solutions Architect, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems

Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks. 
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 8+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• 8+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Strong consulting / customer facing experience , working with external clients across a variety of industry markets
• Coding experience in Python, R, Java, Apache Spark™ or Scala
• Experience building distributed data systems
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Available to travel to customers in your region
• Nice to have: Databricks Certification

GAQ227R131

We're looking for a self-driven Senior Business Analyst to join Databricks' OTR Systems Transformation team. You'll take end-to-end ownership of quality, documentation, and operational health across our Order-to-Revenue (OTR) tech stack — operating with limited direction and building structure from ambiguity from day one. You'll be a partner across Deals Desk, Revenue Assurance, RevOps, Billing, Revenue, FP&A, and Finance leadership — influencing decisions through data-backed analysis and driving cross-functional alignment within the OTR domain.

Databricks is a data-driven company. Every recommendation should be grounded in data, not intuition. We actively embrace AI-assisted ways of working and expect this person to be curious, proactive, and always anticipating the next step.

The impact you will have:

• Own end-to-end UAT lifecycle: planning, test design, execution, defect management, RCA, and audit-ready signoffs
• Coordinate parallel test streams across Business, IT, and Engineering with clear accountability and outcomes
• Translate BRDs/BIDs into user stories and test scenarios; maintain SOX-compliant documentation and traceability
• Lead retrospectives and drive continuous improvement actions
• Define enablement standards (SOPs, training) and evolve toward automated testing frameworks
• Lead senior stakeholder forums and own executive communications on status, risks, and actions
• Build and maintain OTR systems flow documentation; partner with IT/Engineering and leverage AI to keep it current
• Own production health and month-end close readiness; drive RCA and reduce recurring issues
• Lead backlog prioritization and tech debt management using data-driven impact analysis
• Support data migrations and contribute to data quality and metadata standards; expand scope as the function scales

What we look for:

• 6–8+ years in Revenue/Business Ops, Financial Systems, or Consulting with strong OTR (Order-to-Cash) expertise
• Hands-on with Salesforce CPQ and ERP systems (NetSuite/SAP preferred)
• Strong knowledge of ASC 606, revenue recognition, and usage/consumption-based billing
• Deep understanding of OTR system integrations, data flows, and transformation logic
• Proven ownership of full UAT lifecycle in financial/OTR systems
• Strong analytical skills; comfortable using data tools (SQL a plus) and AI for validation and insights
• Experience drafting BRDs/BIDs and building process/system flow documentation; data migration validation is a plus
• Self-driven, thrives in ambiguity, and effectively influences senior stakeholders with data-backed communication
• Leverages AI tools to scale output; maintains high quality standards and mentors junior team members
• Flexible to work IST with overlap into PST as required

FEQ327R142

As a Senior Specialist Solutions Architect – Builder Team, this role designs, builds, maintains, and supports projects that integrate and extend the Databricks platform to accelerate data and AI use cases. The position contributes to the roadmap for specific priority projects, helps evaluate partner solutions, and delivers high-quality, production-ready implementations.

This role also supports the infrastructure used to maintain Databricks Labs, enabling field engineering teams to contribute to tooling efforts more effectively. The ideal candidate brings strong customer empathy, a product mindset, and the ability to translate tooling needs into robust backend systems.

The impact you will have

• Build, debug, and extend multiple internal and public infrastructure components of the Databricks Labs ecosystem, with a focus on scalable and reliable backend services and automation.
• Implement and maintain backend services, APIs, and automation tools that integrate with the Databricks platform and related ecosystems.
• Author high-quality technical documentation, design proposals, and internal guides to scale knowledge and best practices across the organization.
• Apply and contribute to engineering best practices, coding standards, and reusable patterns for Labs projects, ensuring consistent and maintainable solution delivery.
• Collaborate with cross-functional teams—including Field Engineering, Product, and Platform Engineering—to clarify requirements, propose technical approaches, and deliver projects
• Contribute to the evaluation, adoption, and integration of new technologies relevant to Databricks Labs and the automation tooling ecosystem.
• Own the design and implementation of small to medium-sized projects end to end, and partner with Lead Specialist Solutions Architects on larger, cross-team initiatives.
• Participate in code reviews, design reviews, and incident response, helping improve reliability, observability, and developer experience for field teams.

What we look for

• Experience delivering complex backend or infrastructure projects in iterative increments, balancing robustness and development speed.
• Production experience of 6+ years in backend or infrastructure development, with proficiency in at least two of the following: Terraform, Scala, Go, Apache Spark, Java, Python; experience with at least one compiled language is required.
• Passion for defensive programming and building highly scalable and reliable software.
• Demonstrated fluency in modern AI and data technologies and proven experience integrating AI capabilities into production systems, such as embedding LLMs, recommendation models, or other ML services into backend applications with appropriate reliability, observability, and security controls.
• BS/MS/PhD in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Excellent written and verbal communication skills, including a track record of producing clear technical documentation, design proposals, and knowledge-sharing materials across teams.

SLSQ127R200

As a Partner Solutions Architect (PSA) for India, you will work with the technical and sales team members who work directly with our customers. You will develop 'technical champions' within our top Partners, providing enablement on technical matters related to the Databricks product. Working with our partners, you will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake; and major public cloud infrastructure and services. the product. You will use this expertise to become a trusted advisor to C&SI partners.

The impact you will have:

• Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem
• Engage with the partner technical community by leading workshops, seminars, and meet-ups
• You will be a Big Data Analytics expert on aspects of architecture and design and will share this with our partner network
• Show expertise by producing creative technical solutions and blog posts

What we look for:

• 8 years of customer facing experience working with external clients or partners across a variety of industry markets
• Core strength in either data engineering or data science
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience developing architectures within a public cloud (AWS, Azure, or GCP)
• Hands on experience in SQL, Python, Scala, or Java
• Expertise in at least one of the following:
• Data Engineering technologies (Ex: Apache Spark™, Hadoop, Kafka)
• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
• Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)

FEQ227R52

As a Solutions Architect (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems.

The impact you will have:

• You will be a Big Data Analytics expert on aspects of architecture and design
• Lead your clients through evaluating and adopting Databricks including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars and meet-ups
• Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

• Strong consulting / customer facing experience , working with external clients across a variety of industry markets
• Core strength in either data engineering or data science technologies
• 8+ years of experience demonstrating technical concepts, including demos, presenting and white-boarding
• 8+ years of experience designing architectures within a public cloud (AWS, Azure or GCP)
• 6+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Coding experience in Python, R, Java, Apache Spark™ or Scala

CSQ426R157

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

P-995

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

The Core Experiences Platforms Org in Bangalore is responsible for the main set of platforms to access and interact with core assets such as Workspaces, Notebooks, SQL queries and the necessary serving infrastructure to power multiple User Experiences. 

Databricks is experiencing very high growth, and several critical services rely on the platforms of the Core Experiences Platforms Org. We are focused on redesigning our systems to support the next stage of growth. This is an opportunity for you to be owning several critical next generation infrastructure for databricks, and be a central part of databricks' growth.

As an Engineering Manager in the Core Experiences Platform Org, you will build and operate highly available and scalable platforms which serve multiple products in Databricks, allowing it to seamlessly scale and run across various geographic regions and clouds, and make Databricks the go-to product for big data processing in the cloud. You will report directly to the Sr. Manager of Engineering.

The Impact You Will Have:

• You will hire great engineers to build an outstanding team
• You will support engineers in their career development by providing clear feedback, as well developing engineering leaders
• You will ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence)
• You will work with engineering and product leadership to build a long-term roadmap
• You will coordinate execution and collaborate with multiple product teams with feature requests from the platform
  
  

What We Look For:

• Great at hiring and developing talent, especially leadership
• Great at creating efficient processes that increase velocity and quality
• 2+ years of experience in managing teams that build and operate high-volume distributed systems in a SaaS environment
• 5+ years of experience with distributed systems and building platforms and services which serve multiple product teams and customers
• Have experience in scaling engineering teams from 5 to 20+
• Team player that will work with other departments (PM, CS) and engineering teams.
• BS or higher in Computer Science, or a related field

P-995

About the Team

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. 

Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready-to-use, point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files.

In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion capabilities and the lead for this role will need to work closely with other products to embed Connect into these surfaces.

We are looking for a senior leader to run our Connect organization in India. This is a great opportunity to lead a key strategic initiative for Databricks. The ideal candidate would have experience leading teams that build Data infrastructure as well as interest/experience in running product centric organizations. We would also look for the ability to collaborate effectively across time zones as well organizational boundaries. 

The impact you will have:

• Solve real business needs at a large scale by applying your software engineering
• Ensure consistent delivery against milestones and strong alignment with the field working "two-in-a-box" with product leadership
• Evolve organizational structure to align with long term initiatives, build strong "5 ingredient" teams with good comms architecture
• Manage technical debt, including long term technical architecture decisions and balance product roadmap
• Leading and participating in technical, product, and design discussions 
• Building, managing, and operating a highly scalable services in the cloud
• Growing leaders on the team by providing coaching, mentorship, and growth opportunities

What we look for:

• 11+ years of industry experience building and supporting large-scale distributed systems
• Building, growing, and managing high-performance teams
• Ability to attract and hire engineers who meet the Databricks hiring principles
• Existing experience building and running cloud platforms -or- demonstrated ability to quickly learn new concepts in the SaaS space (e.g technical background and fast learner).
• Experience working cross-functionality with product management and directly with customers; ability to deeply understand product and customer personas.

P-995

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As one of the first Engineering Managers in the Software Engineering team at Databricks India, you will work with your team to build infrastructure and products for the Databricks platform at scale. We have multiple teams working on different domains.

• Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way
• Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers
• Build tools to allow Databricks engineers to operate their services across different clouds and environments
• Build services, products and infrastructure at the intersection of machine learning and distributed systems.

The impact you will have:

• Hire great engineers to build an outstanding team.
• Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence).
• Work with engineering and product leadership to build a long-term roadmap.
• Coordinate execution and collaborate across teams to unblock cross-cutting projects.

What we look for:

• 10+ years of extensive experience with large-scale distributed systems alongside the processes around testing, monitoring, SLAs etc
• Extensive experience as a Software Engineering Leader , building & scaling software engineering teams from ground up 
• Extensive experience managing a team of strong software engineers 
• Partner with PM, Sales, and Customers to develop innovative features & products.
• BS (or higher) in Computer Science, or a related field.

P-375

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a Staff Software Engineer working on the Data Platform team, you will leverage bleeding-edge AI developer tools and techniques to help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, and many more. You will define the future of a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, and data consumption layers, just to name a few.

The impact you will have:

• Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks. You’ll play a key role in developing the right balance of data protection and ease of shareability for the Data Intelligence Platform as we transition to a public company.
• Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies, and deployment types. This includes CI/CD processes, test frameworks for pipelines and data quality, and infrastructure-as-code tooling.
• Partner with our engineering teams to provide leadership in developing the long-term vision and requirements for the Databricks product.
• Build reliable data pipelines and solve data problems using Databricks, our partner’s products, and other OSS tools. Provide early feedback on the design and operations of these products.
• Represent Databricks at academic and industrial conferences & events.

What we look for:

• BS/MS/PhD in Computer Science or related majors, or equivalent experience.
• 10+ years of industry experience building and operating large-scale distributed systems.
• 4+ years of experience providing technical leadership on planet-scale production data systems 
• Experience leading architecture efforts for performance-sensitive systems (e.g., latency-critical services, multi-tenant platforms, large-scale indexing pipelines).
• Strong communication skills and the ability to operate effectively in fast-paced, cross-functional environments.
• A strategic mindset with the ability to align engineering execution with longer-term product and company goals.
• Passion for mentoring and developing other engineers.

P-375

At Databricks, we build powerful infrastructure that accelerates innovation and enables data teams to deliver with confidence and scale. Our unified schema migration platform underpins automated, observable, and developer-friendly workflows—ensuring Databricks can continue evolving rapidly across thousands of databases and 60+ mission-critical services.

What You’ll Do

As a Staff Software Engineer, you’ll lead the design, development, and reliability of our global platform that manages schema and data changes at scale:

Your role will be crucial in:

• Ensuring the scalability and reliability of schema and data operations across Databricks’ global footprint.
• Driving predictable deployments by architecting robust test harnesses and automation.
• Elevating the developer experience by building accessible, resilient tools that make complex migrations feel simple.
• Guaranteeing the integrity of both schema and data through safe, efficient backfill strategies.

What we look for:

• 12+ years of professional experience in backend systems or platform engineering.
• Experience in building platforms, infrastructure, or database engineering, especially with MySQL, TiDB.
• Track record of building and scaling mission-critical platforms supporting high-throughput, global services.
• Experience with schema migration frameworks, CI/CD automation and developer tooling.
• Champion of developer experience, creating clear, reliable, and user-friendly workflows.

P-1385

Companies are investing billions of dollars into developing and deploying AI and the data platforms that enable it. But do they know what is happening? 

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a Senior Software Engineer on the Customer Foresight Team, you'll lead the development of products that customers use to get insights on their AI and data workloads, optimize their performance, and lower costs. You will build data infrastructure that processes billions of entries daily, deploy to over 65 cloud regions worldwide, and enable some of the world's biggest companies to conduct their DevOps, FinOps, SecOps and AIOps jobs.

This role requires leading the technical development of product milestones from refinement of requirements, through execution, operation, and iterating with the broader product development team and partner teams to ensure product success.

The impact you will have:

• Develop systems that make it simple for customers to answer questions about their Databricks environment by providing a reliable and timely interface for observability
• Make it easy for frameworks teams across Databricks to publish their data to customers
• Effectively lead large milestones from the observability roadmap, contribute to the long-term vision and requirements development for Databricks products
• Mentor other engineers towards contributing to the product and their career growth
• Optimize the scalability and cost of large data pipelines towards reducing costs for customers and opening up new product opportunities
• Drive integration with popular tools and services in the broader data warehousing ecosystem

What we look for:

• 6+ years of production level experience in one of: Java, Scala, Python, C++, or similar language
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes
• Proven track record in architecting, developing, deploying, and operating components of large scale distributed systems
• Strong software engineering maturity: security, correctness, engineering excellence, operational excellence
• Platform mindset: effective building platforms for other software teams, iterating quickly to reduce friction to adoption, advocating for platform use
• Cross-functional skills: we have platform customers internal at Databricks as well as external customers, which requires strong cross-functional skills

P-1385

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.

The impact you'll have:

Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and infrastructure. For example, you might work on challenges such as:

• Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.
• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.
• Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.

What we look for:

• BS (or higher) in Computer Science, or a related field
• 6+ years of production level experience in one of: Python, Java, Scala, C++, or similar language.
• Experience developing large-scale distributed systems from scratch
• Experience working on a SaaS platform or with Service-Oriented Architectures
• Proficiency in one or more backend languages such as Java, Scala, or Go.
• Hands-on experience in developing and operating backend systems.
• Ability to contribute effectively throughout all project phases, from initial design and development to implementation and ongoing operations, with guidance from senior team members.

(P-1174)

We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide.

Key Characteristics

As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone. 

Job Description

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers
• Low level systems debugging, performance measurement & optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• A strong influencer or driver in the organization’s roadmap and direction.
• Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.
• Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).
• Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience driving company initiatives towards customer satisfaction.

(P-1174)

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. 

Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration.

We are seeking an experienced Sr. Staff Software Engineer with deep networking expertise to help shape the future of Databricks’ Networking Infrastructure. As one of the early members of the rapidly growing Bangalore site, you will play a critical role in defining the technical vision and architecture for next-generation network connectivity & observability services that will power & manage millions of VMs across multiple clouds. 

In this role, you will own and drive the design of large-scale connectivity platforms that form the backbone between Databricks’ control plane and compute plane. These platforms are foundational to improving the scalability, reliability, and efficiency of our compute infrastructure, while enabling more intelligent and cost-effective use of cloud resources.

You will operate at an org-wide level, setting technical direction, leading complex cross-team initiatives, and mentoring senior engineers. You’ll work closely with product management, operations, and partner engineering teams to translate long-term business goals into durable, extensible networking systems. This role requires both hands-on technical leadership and the ability to influence architecture and execution across teams.

This is a unique opportunity for a senior technical leader who enjoys working in ambiguous problem spaces and is motivated by solving novel, multi-cloud distributed systems challenges at massive scale.

What we look for:

• 15+ years of production level experience in one of: Rust, Java, Scala, C++, or similar language
• 10+ years of experience developing large-scale distributed systems from scratch
• Experience working on a SaaS platform or with Service-Oriented Architectures.
• Experience with cloud networking, kubernetes, infrastructure automation languages like terraform, cloudformation, etc.

(P-1174)

We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide.

Key Characteristics

As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone. 

Job Description

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers
• Low level systems debugging, performance measurement & optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• A strong influencer or driver in the organization’s roadmap and direction.
• Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.
• Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).
• Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience driving company initiatives towards customer satisfaction.

P-1348

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is important to making customers successful on our platform.

We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

As a Senior Software Engineer working on the Data Platform team you will help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, Applied AI and many more. You will develop a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, data consumption layers etc. You will do this using the latest, bleeding-edge Databricks product and other tools in the data ecosystem - the team also functions as a large, production, in-house customer that dog foods Databricks and guides the future direction of the product.

The impact you will have:

• Design and run the Databricks metrics store that enables all business units and engineering teams to bring their detailed metrics into a common platform for sharing and aggregation, with high quality, introspection ability and query performance.
• Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks. You’ll play a key role in developing the right balance of data protections and ease of shareability for the Data Intelligence Platform as we transition to a public company.
• Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies and deployment types. This includes CI/CD processes, test frameworks for pipelines and data quality, and infrastructure-as-code tooling.
• Design the base ETL framework used by all pipelines developed at the company.
• Partner with our engineering teams to provide leadership in developing the long-term vision and requirements for the Databricks product.
• Build reliable data pipelines and solve data problems using Databricks, our partner’s products and other OSS tools. Provide early feedback on the design and operations of these products.
• Establish conventions and create new APIs for telemetry, debug, feature and audit event log data, and evolve them as the product and underlying services change.
• Represent Databricks at academic and industrial conferences & events.

What we look for:

• 6+ years of industry experience 
• 4+ years of experience providing technical leadership on large projects similar to the ones described above - ETL frameworks, metrics stores, infrastructure management, data security.
• Experience building, shipping and operating reliable multi-geo data pipelines at scale.
• Experience working with and operating workflow or orchestration frameworks, including open source tools like Airflow and DBT or commercial enterprise tools.
• Experience with large-scale messaging systems like Kafka or RabbitMQ or commercial systems.
• Excellent cross-functional and communication skills, consensus builder.
• Passion for data infrastructure and for enabling others by making their data easier to access.

P-926

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. And we're only getting started in Bengaluru , India - across 10 new teams that we're setting up from scratch !

As a Staff Software Engineer at Databricks India, you can get to work across : 

- Backend 

- DDS (Distributed Data Systems)

- Full Stack

The impact you'll have:

1. Our Backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:

• Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
• Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
• Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Apache Spark™, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.

2. Our DDS team spans across:

• Apache Spark™
• Data Plane Storage
• Delta Lake
• Delta Pipelines
• Performance Engineering

3. As a Full Stack software engineer, you will work closely with your team and product management to bring that delight through great user experience.

What we look for:

• 12+ years of production level experience in one of: Python, Java, Scala, C++, or similar language.
• BS (or higher) in Computer Science, or a related field
• Experience developing large-scale distributed systems from scratch
• Experience working on a SaaS platform or with Service-Oriented Architectures.

P-926

The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. 

As our Search product continues to evolve, we are seeking multiple  ML Engineers from junior levels to more senior levels to drive enhancements to our Search Quality. In 2026, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale.

Key Responsibilities

• Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. 
• Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. 
• Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. 
• Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.

What We’re Looking For

• BS+ (M.S. or PhD preferred) in Computer Science, or a related field.
• 5+ years experience developing search relevance systems at scale in production or in high-impact research environments.
• Experience applying LLM to search relevance
• Experience in one or more of the following:  
• Query understanding
• NLP
• Text mining
• Recommendations
• Personalization
• Discovery
• Conversational AI 
• Strong understanding of computer science fundamentals.
• Contributions to well-used open-source projects. 

Why Join Us?
At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!

P-926

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. We're only getting started in Bengaluru, India  - and are currently in the process of setting up 10 new teams from scratch! 

Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the security and scale that is important to making customers successful on our platform.

We develop and operate one of the largest-scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

As a software engineer in the Observability team, you will develop observability solutions that provide insights into the health and performance of our products and infrastructure.

The impact you'll have:

• Establish standards for logging, metrics, and tracing.
• You will collaborate with different teams to identify metrics that allow engineers to observe how well the system and different subcomponents are performing.
• You will build tooling and infrastructure to allow components to efficiently emit, aggregate, and store metrics that can be displayed on dashboards and used for alerting.
• Ensure the scalability, performance, and reliability of systems by contributing to and executing the technical roadmap.
• Participate in on-call rotations and reduce incident response times to maintain operational excellence.
• Optimize platform and infrastructure by analyzing system expenses, enhancing visibility, promoting mindful usage, enforcing retention policies, streamlining queries, and right-sizing resources to reduce observability costs.

What we look for:

• BS (or higher) in Computer Science, or a related field.
• 7+ years of production-level experience in one of: Python, Java, Scala, C++, or similar languages.
• Experience in software development, in large-scale distributed systems
• Familiarity with metrics collection, health monitoring, and observability tools

P-926

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. 

Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration. And we're setting up the team from scratch in Bengaluru , India.

We are seeking an experienced Senior Software Engineers with a networking background to join the Networking Infrastructure team. As one of the seed members of the Bangalore site, you will be focussing on building new backend connectivity services that powers millions of VMs running on Databricks. You will also be leading the design and development of new services that powers the connectivity between our control plane and compute plane. This new platform enables Databricks to increase scalability of our compute plane while also efficiently use cloud resources. You will work closely with cross-functional teams, including product management, operations, and other engineering teams, to ensure the delivery of robust, scalable, and efficient networking systems. This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multi-cloud and distributed systems challenges.

What we look for:

• 6+ years of production level experience in one of: Python, Java, Scala, C++, or similar language
• 3+ years of experience developing large-scale distributed systems from scratch
• Experience working on a SaaS platform or with Service-Oriented Architectures.

P-926

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. And we're only getting started in Bengaluru , India  - and currently in the process of setting up 14 new teams from scratch ! 

As a Senior Software Engineer at Databricks India, you can get to work across  : 

- Backend 

- DDS (Distributed Data Systems)

- Full Stack

The impact you'll have:

1. Our Backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:

• Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
• Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
• Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Apache Spark™, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.

2. Our DDS team spans across:

• Apache Spark™
• Data Plane Storage
• Delta Lake
• Delta Pipelines
• Performance Engineering

3. As a Full Stack software engineer, you will work closely with your team and product management to bring that delight through great user experience.

What we look for:

• BS (or higher) in Computer Science, or a related field
• 7+ years of production level experience in one of: Python, Java, Scala, C++, or similar language.
• Experience developing large-scale distributed systems from scratch
• Experience working on a SaaS platform or with Service-Oriented Architectures.

(P-1174)

We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide.

Key Characteristics

As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone. 

Job Description

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers
• Low level systems debugging, performance measurement & optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• A strong influencer or driver in the organization’s roadmap and direction.
• Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.
• Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).
• Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience driving company initiatives towards customer satisfaction.

P-375

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready-to-use, point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files.

In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion capabilities and the lead for this role will need to work closely with other products to embed Connect into these surfaces.

We are looking for engineers with experience in core Database internals to join our Lakeflow Connect team. A key part of Connect is to extract data from OLTP systems while imposing minimal load on production systems. To do this efficiently we are building systems that use techniques such as incremental data capture, log parsing, etc. We are looking for engineers who continue to be hands on and are looking to make a large impact on an important problem for the company.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers
• Low level systems debugging, performance measurement & optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• A strong influencer or driver in the organization’s roadmap and direction.
• Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.
• Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).
• Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Experience in areas like Database replication, backup, transaction recovery at one of the major database vendors (Microsoft SQL Server , Oracle, IBM etc).
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience driving company initiatives towards customer satisfaction.

SLSQ427R256

Databricks is seeking a Lakebase Sales Specialist Account Executive to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.

Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.

The impact you will have

• Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team.
• Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.
• Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.
• Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.
• Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.
• Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.
• Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.
• Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.
• Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.

What success looks like in this role

This role requires the ability to operate across two key motions simultaneously:

• Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase.
• Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts.

Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business.

Success in this role requires strength in four areas:

1. Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.
2. Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.
3. Field enablement – Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present.

Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party

What we look for

• 7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.
• Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders.
• Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.
• Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).
• Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.
• Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.
• Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.
• Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences.
• Bachelor’s degree or equivalent practical experience.

Preferred qualifications

• Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts.
• Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.
• Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications.
• Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services.
• Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives.
• Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions.

SLSQ227R442

The Manager, GTM Planning supports Databricks’ global go-to-market planning and execution. In this role, you will operate at a global scale, owning critical planning workflows across territory and account assignment, quota calculations, and headcount management. You will not only run core processes but continuously improve them by bringing rigor, automation, and a data-driven perspective to each planning cycle.

The Impact you will have:

• Global territory & account assignment - Design and optimize workflows that deliver decision-ready outputs trusted by sales leadership while reducing manual effort
• End-to-end GTM headcount execution - Accelerate time-to-hire by removing bottlenecks, modeling budget trade-offs, and reconciling positions across Finance, Talent Acquisition, and Sales
• Scalable planning infrastructure - Build repeatable templates and processes that reduce manual effort and improve planning accuracy over time
• Cross-functional partnership - Drive alignment across Sales, Finance, HR, and Sales Operations to resolve data discrepancies, align assumptions, and manage planning exceptions
• AI & Process Automation - Identify opportunities to automate repetitive tasks, improve data quality, and shorten planning cycles

What we look for:

• 7+ years of experience in GTM planning, Sales Operations, Revenue Operations, or Strategy & Operations within an enterprise technology company
• Deep, hands-on experience with territory design, quota setting, capacity modeling, and/or headcount management
• Strong proficiency in Salesforce reporting, SQL, and BI tools (e.g., Databricks, Tableau), with the ability to independently extract, transform, and analyze large datasets
• Advanced Excel or Google Sheets modeling skills, including building and maintaining complex planning models used by senior stakeholders
• Proven ability to collaborate across global time zones, particularly with teams in the US, EMEA, and APJ
• Demonstrated use of AI tools to improve productivity, including building lightweight automations, prompt workflows, or data transformations
• Strong bias for action and continuous process improvement - you see a manual process and immediately think about how to make it better
• Comfort operating with ambiguity in a fast-moving, high-growth environment where planning requirements evolve quickly

SLSQ227R598

The Team

The Partner Strategy & Operations team supports Databricks' robust ecosystem of Cloud, SI and ISV, working with the Databricks Partnerships team. Our team is laser focused on driving operational scale in an extremely high-growth environment. We empower our stakeholders and senior leadership with the insights, tools and decision criteria to inform proactive, effective, and data-driven programmatic strategies.

The Role

You will be in a critical and visible position, playing a key role in scaling the APJ Partnerships team's GTM strategy. In this role, you will combine analytical insight, strong business acumen, and robust cross-functional partnerships with leaders across the company while partnering with our senior APJ Partnerships leaders to set a strategy and medium/long term goals for the business. You will then lead the execution of many of these initiatives, building scalable processes, building consensus, and supporting all of it with proactive data-driven insights and analysis along the way.

The impact you will have:

• Make the leaders of the APJ partnerships team more efficient and effective through a data driven approach to decision making
• Create quarterly and annual OKRs, reporting, forecasting, SQL analytics, BI reporting and dashboard development, territory planning, and quota/productivity modeling
• Support and run pipeline/forecast calls, team calls and quarterly business reviews
• Conduct ROI analysis to evaluate the effectiveness of incentive programs and partner initiatives, making data-driven recommendations for improvement
• Stay up-to-date with industry trends, market dynamics, and competitive landscapes across APJ markets, providing insights to enhance sales strategies and maintain a competitive advantage
• Work cross-functionally and globally with internal stakeholders to resolve issues, understand business and data challenges, identify optimization opportunities and respond to escalation and exception requests

What we look for:

• You love building cross-functional processes at scale and are familiar with automation. You have designed systems and workflows spanning multiple team members and tools to manage projects spanning at least a full year
• You are technical and proficient in SQL analytics, BI reporting and dashboard development, and Salesforce reporting. Whether it's building a quick Salesforce report for the business or analyzing data sets with SQL queries and BI tools, data is a core part of your toolkit, and you apply an analytical mindset to deliver strategic insights
• You excel in a collaborative environment and have a high degree of honesty, integrity and sound judgment. You translate team member needs into clear tasks and deliverables for contributors. You work through dependencies, bottlenecks, and tradeoffs with ease
• You have a bias for action and want to build something that lasts. Not only do you have the ability and the desire to architect the high level strategy, you want to operationalize it and can dive deep into the details
• You have excellent spoken and written communication & presentation skills. You have experience resolving prioritization conflicts, resourcing shortfalls, and timing issues, and can summarize challenges & recommendations succinctly
• You have 7+ years experience in sales strategy, business development, or channel management. You have experience collaborating with partner sales and field engineering teams at an enterprise technology company
• You have experience operating across APJ markets. You understand the nuances of partner ecosystems across ANZ, Japan, India, Southeast Asia, and Korea, and can navigate diverse business cultures and go-to-market models

P-1533

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. 

Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration.

We are seeking an experienced Sr. Staff Software Engineer with deep networking expertise to help shape the future of Databricks’ Networking Infrastructure. As one of the early members of the rapidly growing Bangalore site, you will play a critical role in defining the technical vision and architecture for next-generation network connectivity & observability services that will power & manage millions of VMs across multiple clouds. 

In this role, you will own and drive the design of large-scale connectivity platforms that form the backbone between Databricks’ control plane and compute plane. These platforms are foundational to improving the scalability, reliability, and efficiency of our compute infrastructure, while enabling more intelligent and cost-effective use of cloud resources.

You will operate at an org-wide level, setting technical direction, leading complex cross-team initiatives, and mentoring senior engineers. You’ll work closely with product management, operations, and partner engineering teams to translate long-term business goals into durable, extensible networking systems. This role requires both hands-on technical leadership and the ability to influence architecture and execution across teams.

This is a unique opportunity for a senior technical leader who enjoys working in ambiguous problem spaces and is motivated by solving novel, multi-cloud distributed systems challenges at massive scale.

What we look for:

• 15+ years of production level experience in one of: Rust, Java, Scala, C++, or similar language
• 10+ years of experience developing large-scale distributed systems from scratch
• Experience working on a SaaS platform or with Service-Oriented Architectures.
• Experience with cloud networking, kubernetes, infrastructure automation languages like terraform, cloudformation, etc.

GAQ426R352

At Databricks Information Technology, we are a product-led organization transforming the way we work, from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in the face of incredible growth.

The Corporate Engineering team is responsible for building/providing services and infrastructure that enable bricksters to be successful. A core area of focus for this role is Network Infrastructure and Automation.

Databricks is hiring an experienced Senior Network Engineer to help grow and scale our campus Network infrastructure and zero trust framework, as the company continues its hyper-growth. You will be a key member of the Corporate Engineering team to build out a scalable network infrastructure while building automation and meeting security and compliance needs .You will report to the Head of Corporate Engineering. You will come up to speed on existing capabilities as a foundation towards developing solutions at scale. This also is an opportunity to join a new sub team of Corporate Engineering focused on Network / Cloud infrastructure and related SRE functions.

The impact you will have:

• You will manage Databricks LAN, WAN and VPN approach by designing and implementing highly available, redundant, and low-latency company campus networks.
• You will provide infrastructure that is both secure and performant with focus on delivering amazing experiences for stakeholders through technologies such as SD-WAN and WIFI6/7 solutions.
• You will develop and implement network automation for scale and predictability, leveraging common languages and configuration as code such as Ansible and Terraform.
• You will facilitate partnerships with security and compliance teams to ensure the network is based on seamless security design
• Assist Corporate Engineering leadership in Capacity Planning, driving outcomes and network roadmap through network analytics and stakeholder feedback.
• Knowledge transfer, transparency, enablement and mentoring of other team members, vendors, including maintaining detailed system documentation, contributing towards monitoring and metrics for SRE functions and maintaining vendor relationships

What we look for:

• 5+ years of experience or related experience in designing and building highly redundant network infrastructure for campus networks with an emphasis on ZeroTrust, SD-WAN and Wireless.
• A strong candidate will demonstrate a deep understanding of OSI Layer and its application.
• 5+ years of experience or related experience applying network and security principles within a cloud infrastructure deployment. Demonstrated experience in secure transport methods (SSH,TLS,IPSEC), IAM, VPCs and connectivity such as IaaS peering and VPN solutions.
• Strong track record of delivering resilient network systems and services with a focus on delivering amazing experiences for end users.
• Strong hands-on technical skills. Can drill deep into the complex network system design and implementation when needed. Familiarity with APIs and designing solutions to leverage interfaces to build network automation or capabilities such as dashboarding or monitoring.
• Strong experience in previous implementations of Palo Alto Networks Global Protect, Prisma Access VPN solutions, including the implementation of network capabilities in AWS and hybrid scenarios.
• Working knowledge of SD-WAN ( Palo Alto Networks SD-WAN solution)
• Must have experience with Aruba wireless echo system ( Aruba switches/AP’s and central)
• Proficiency in Ansible and Terraform for network automation.
• Comfortable programming in languages such as Spark, Python, node.js, golang or Scala is ideal

GAQ426R353

As a Network Automation Engineer, you will design, develop, and implement automation solutions to improve network efficiency, scalability, and reliability. This role is a blend of deep networking expertise and software development, aimed at streamlining network operations and reducing manual intervention. 

The impact you will have:

• Automation Frameworks: Design and implement network automation frameworks and solutions.
• Scripting & Development: Develop automation scripts using Python, Ansible, Terraform, Pulumi, or similar tools.
• Provisioning & Deployment: Automate network provisioning, configuration, and deployment processes.
• Monitoring & Remediation: Monitor network performance and build automated alerting and remediation systems.
• CI/CD Excellence: Architect deployment pipelines using GitHub Actions, managing both GitHub-hosted and self-hosted runners for specialized build requirements.
• Integration: Work with APIs, SDKs, and SDN controllers to integrate automation into the broader infrastructure.
• Collaboration: Partner with Network, DevOps, and Security teams to ensure seamless workflows and compliance with security policies.
• Optimization: Troubleshoot automation failures, optimize existing workflows, and maintain high standards for documentation.

What we are looking for:

3+ years of relevant experience as a Network Engineer

Networking Fundamentals:

• Strong understanding of TCP/IP, DNS, and DHCP.
• Expertise in Switching, VLANs, WAN/LAN, and SD-WAN/VPN.
• Hands-on experience with routers, switches, and firewalls.

Automation & Programming:

• Python: Must-have proficiency for scripting and tool development.
• IaC Tools: Experience with Ansible, Terraform, or Pulumi.
• Modern Practices: Proficiency with REST APIs, JSON/YAML, Git, and CI/CD pipelines.

Modern Infrastructure:

• Cloud networking experience (AWS, Azure, or GCP).
• Understanding of SDN/NFV concepts.
• Knowledge of container networking (Docker/Kubernetes) is a plus.

Preferred Tools & Skills

• Experience with Palo Alto Networks, Aruba Networks, Opengear, APC
• Monitoring & Ops: Familiarity with Datadog, LogicMonitor, Grafana, or Aruba Cape Networks.
• Documentation: Proficiency in Netbox and Confluence.
• Additional Tools: Experience with Puppet or SaltStack

FEQ327R115

As a Manager, Field Engineering (Data & AI), you will lead a team of Solutions Architects focusing on large & strategic customers in India. You will help lead our team in India expansion, you will build and lead a technical pre-sales team. You will guide and get involved to enhance your team's effectiveness; be an expert at positioning and articulating business-value-focused solutions to our customers and prospects; whilst coaching new sales and pre-sales team members to work together, support various stages of the sales cycles; and build relationships with key stakeholders in large corporations.

The impact you will have:

• Manage hiring, building the Pre-Sales team consisting of Solutions Architects in the Data & AI domain.
• Rapidly scale the designated Field Engineering segment organisation without sacrificing calibre.
• Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture.
• Support increasing Return on Investment of SA involvement in sales cycles by 2-3x over 18 months.
• Promote a solution and value-based selling field-engineering organisation.
• Coach and mentor the Solutions Architect team to understand our customers’ business needs and identify revenue potential in their accounts.
• Interface with leadership & C-suite stakeholders at strategic customers in the assigned region to position the strength of Databricks, the comprehensive solutions strategy, and build trust and credibility in the account.
• Build Databricks' brand in India in partnership with the Marketing and Sales team
• Bring the experience, priorities, and takeaways of the field engineering team to the planning and strategy roadmap of the organisation. 

What we look for:

• 6+ years experience in a pre-sales / consulting / customer facing managerial role: developing, managing and building a team of successful Big Data, Cloud, or SaaS professionals
• Experience working with strategic Banking / Financial Services / Digital Enterprise accounts generating +$1M ARR
• 6+ years experience in Big Data Architecture incorporating components of Data Engineering / Data Warehouse / Machine Learning / Data Science 
• Experience in scaling and mentoring field and technical teams managing both in-person and remote working models
• Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
• Knowledgeable in Apache Spark™ / Databricks ecosystem

P-1515

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

As a Backline Technical Solutions Engineer you will help our customers to be successful with the Databricks platform by resolving important technical customer escalations and working closely with the frontline support team. You will be the technical bridge between support and engineering and the first line of defense for engineering. You will ensure that all issues are vetted by you before it reaches the engineering team. You will report to the Manager of the Backline Engineering Team.

The impact you will have:

• Troubleshoot and resolve complex customer issues related to the Databricks Platform by analyzing the core component metrics and logs.
• Provide suggestions and best practice guidance for improving performance in customer-specific environments and providing product improvement feedback.
• Help the support team with detailed troubleshooting guides and runbooks.
• Contribute to automation and tooling programs to make daily troubleshooting efficient.
• Partner with the engineering team and spread awareness of upcoming features and releases.
• Identify and contribute supportability features back into the product.
• Demonstrate ownership and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests.
• Participate in weekend and weekday on-call rotation.

What we look for:

• 12+ years of industry experience
• Experience with supporting Java, Scala or Python based applications.
• Expert in scripting using Python or Shell.
• Comfortable with black box troubleshooting.
• Experience troubleshooting issues related to "Distributed Big Data Computing" environment.
• Experience with SQL-based database systems.
• Experience in Linux and network troubleshooting is required.
• Experience with AWS, Azure or GCP related services.
• Bachelor's degree in Computer Science or a related field is required

(P-1490)

Databricks processes petabytes of data and billions of transaction events daily - every cluster launch, every query executed, every dollar billed flows through infrastructure that must never fail. When we process billions in billing transactions with 99.999% accuracy requirements, when we ingest terabytes per second across 100+ regions, when a five-minute outage costs millions in revenue and customer trust - infrastructure isn't just important, it's existential. The next phase of our growth demands disaster recovery systems that prove reliability rather than hope for it, testing frameworks that catch production-scale problems before deployment, correctness guarantees that make billing errors structurally impossible, and automation that scales operations sublinearly with growth.

In this leadership opportunity, you will build the data infrastructure organization that makes Databricks' continued growth possible. You'll establish foundational teams in Bengaluru owning the bedrock systems that guarantee billing correctness, operational resilience, and zero-downtime recovery across our entire monetization stack, alongside multi-region data ingestion, developer platforms, and deployment automation that eliminate friction at petabyte scale. This isn't about maintaining what exists; it's about architecting the infrastructure that enables Databricks to scale while reducing operational burden. You'll define what world-class infrastructure looks like for the next decade of data platforms.

You will pursue these challenges as a founding technical leader in our fastest-growing engineering hub and strategic partner to global infrastructure leaders. In addition to building world-class teams, you will shape architectural decisions that ripple across the company and champion infrastructure-as-product thinking that transforms infrastructure into force multipliers globally. You'll work in an engineering culture born from Apache Spark and open source, where technical depth matters and infrastructure engineers are celebrated as craftspeople.

The perfect candidate has built infrastructure organizations at companies where five nines weren't simply aspirational, where petabyte-scale wasn't marketing but Monday, and where the infrastructure team's technical leverage determined whether the business could scale or stall. You have the technical depth to debate data architecture, the strategic vision to define multi-year platform roadmaps, the leadership craft to build teams that top engineers want to join, and most importantly, the conviction that data infrastructure done right doesn't just support the business; it defines what's possible.

The impact you’ll have:

• Deliver the infrastructure vision for systems processing billions in daily billing transactions with zero tolerance for error, building disaster recovery that's provably reliable, testing frameworks that catch what production sees, correctness systems that make billing errors structurally impossible, and observability that predicts failures before they happen
• Build Bengaluru's data infrastructure organization by establishing it as the destination for India's top infrastructure talent, hiring multiple engineering managers who become force multipliers, and creating a culture where solving hard distributed systems problems at scale is the daily work
• Own business-critical systems operating 24/7/365 across 100+ regions where even 99.9% uptime means hours of customer pain, driving reliability improvements that prevent millions in revenue loss while eliminating operational toil through frameworks that make systems self-healing, self-tuning, and self-documenting
• Ship platforms that compound engineering leverage across Databricks: correctness frameworks that catch billing errors before customers do, deployment automation that makes regional expansion push-button, data integration systems that process petabyte-scale flows without human intervention, and testing infrastructure where comprehensive coverage is automatic, not heroic
• Position infrastructure as product by treating internal engineering teams as customers with SLAs, measuring adoption and satisfaction, iterating based on feedback, and demonstrating that every dollar invested in infrastructure returns multiplicative gains in product velocity, reliability improvements, or cost reductions

What you’ll need:

• 14+ years in distributed systems engineering with 6+ years leading infrastructure organizations and 4+ years managing managers at companies where infrastructure failures meant immediate revenue impact, customer escalations, or regulatory consequences - and you built the systems and teams that made those failures rare
• Technical depth across petabyte-scale data pipelines and distributed systems reliability where you can engage from "how should we architect multi-region disaster recovery" to "why is this Kafka cluster exhibiting this latency pattern" while knowing when to coach versus when to decide
• Track record defining multi-year infrastructure vision and translating it into sequential deliverables that show value quarterly while building toward architectural end states, positioning infrastructure investments as business enablers rather than cost centers, and making build-vs-buy decisions that compound over time
• Experience building 99.999%+ reliable systems with established practices for SLOs/SLIs, chaos engineering, disaster recovery, and sophisticated observability that predicts failures before they happen
• Proven ability to scale infrastructure organizations in high-growth environments where you've doubled engineering while maintaining quality bar, developed engineering managers, and created teams where retention is high because the problems are interesting and the culture is strong
• Communication skills to make complex infrastructure decisions legible to executives (translating technical investments into business outcomes), influence cross-functional partners without authority, build trust across global teams in different timezones with different working styles, and represent Databricks' technical brand externally
• BS in Computer Science or Engineering; MS or Ph.D. preferred. Experience with Apache Spark, Delta Lake, large-scale data infrastructure, fintech/billing systems, or leading infrastructure through hypergrowth strongly preferred

P-1492

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.

The Role : 

We are seeking a highly skilled and experienced Senior Software Engineer with a deep understanding of low-level systems to join our team. In this role, you will be instrumental in designing, developing, and optimizing application frameworks  that form the building blocks for all software development at Databricks. This is not a full-stack role; your expertise will be focused on the intricate details of system internals, performance, and efficiency.

What we look for : 

• Design, implement, and maintain core system infrastructure and low-level software components.
• Optimize system performance, reliability, and scalability through meticulous analysis and innovative solutions.
• Work with JVM internals, memory management, concurrency, and distributed systems.
• Collaborate with other senior engineers and architects to define technical strategies and roadmaps.
• Mentor junior engineers and contribute to a culture of technical excellence.
• Participate in code reviews, design discussions, and architectural decision-making.
• Troubleshoot complex system issues and provide effective resolutions.

Qualifications

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• 7+ years of professional experience in software development.
• Deep understanding of Java Virtual Machine (JVM) internals, including garbage collection, JIT compilation, class loading, and memory model.
• Proficiency in at least one JVM language and extensive experience with its runtime environment.
• Strong programming skills in Scala/Java/Rust or other systems-level languages.
• Extensive experience with operating system concepts; including processes, threads, concurrency, scheduling, and I/O.
• Proven track record of building and optimizing high-performance, scalable, and reliable systems.
• Experience with distributed systems concepts and technologies.
• Excellent problem-solving, analytical, and debugging skills.
• Strong communication and collaboration abilities
• Experience with performance profiling and tuning tools.
• Contributions to open-source projects related to JVM or systems software.
• Experience with RPC frameworks.

If you are a systems-level expert with a passion for optimizing the core of technology and possess a deep understanding of JVM internals, we encourage you to apply and help us build the future.

(P-1491)

About the Team

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

In this role, you will work closely with leaders across the company, within engineering, as well as with product management, field engineering, recruiting, and HR. You will lead critical infrastructure initiatives that build and operate distributed systems, driving company-wide efficiency, reliability, and automation. You’ll shape how the next generation of systems is built—integrating AI-driven tooling directly into the infrastructure itself to make it more adaptive, scalable, and intelligent.

The impact you will have:

• • Solve real business needs at a large scale by applying your software engineering
  • Ensure consistent delivery against milestones and strong alignment with the field working "two-in-a-box" with product leadership
  • Evolve organizational structure to align with long term initiatives, build strong "5 ingredient" teams with good comms architecture
  • Manage technical debt, including long term technical architecture decisions and balance product roadmap
  • Leading and participating in technical, product, and design discussions 
  • Building, managing, and operating a highly scalable services in the cloud
  • Growing leaders on the team by providing coaching, mentorship, and growth opportunities
  • Partnering with other engineering and product leaders on planning, prioritization and staffing
  • Creating a culture of excellence on the team while leading with empathy

What we look for:

• • 20+ years of industry experience building and operating large-scale distributed systems.
  • Proven ability to build, grow, and manage high-performing infrastructure teams, including developing managers and tech leads
  • Deep experience running large-scale cloud infrastructure systems (AWS, Azure, or GCP), ideally across multiple clouds or regions
  • Ability to translate requirements from internal engineering teams into clear priorities and execution plans
  • Fluent across the infrastructure stack — storage, orchestration, observability, and developer platforms — with intuition for how these layers interact..
  • Ability to evaluate and evolve abstractions — knows when to unify, when to localize, and how to reduce cognitive load for product teams.
  • BS in Computer Science (Masters or PhD Preferred)

Mission

Databricks helps data teams solve the world’s toughest problems. As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition Databricks is venture-backed and founded by the original creators of popular open source projects: Apache Spark™, Delta Lake and MLflow.

As a Staff Backline Engineer you will help our customers to be successful with the Databricks Data Intelligence platform by resolving important technical customer escalations and the support team. You will be the technical bridge between support and engineering and the first line of defense for engineering. You will ensure that all issues are vetted by you before it reaches the engineering team. You will report to the Senior Backline Manager of the Backline Escalations Team.

Outcomes

• Troubleshoot, resolve and suggest deep code-level analysis of Spark to address complex customer issues related to Apache Spark™ core internals, Spark SQL, Structured Streaming and Databricks Delta.
• Provide best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers.
• Help the support team with detailed troubleshooting guides and runbooks.
• Contribute to automation and tooling programs to make daily troubleshooting efficient.
• Work with the Spark Engineering Team and spread awareness of upcoming features and releases.
• Identify Spark bugs and suggest possible workarounds.
• Demonstrate ownership and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
• Participate in weekend and weekday on call rotation.

Competencies

• 12+ years of industry experience developing, testing, and sustaining Python or Java or Scala-based applications.
• Comfortable with compiling, building and navigating the Apache Spark source code.
• Comfortable with identifying and applying patches/bug fixes to the Apache Spark source code.
• Experience in Big Data/Hadoop/Spark/Kafka/Elasticsearch data pipelines.
• Hands-on experience with SQL-based database systems.
• Experience in JVM, GC, Thread dump-based troubleshooting is required.
• Experience with AWS or Azure related services.
• Bachelor's degree in Computer Science or a related field is required.

Why Join Us?

• Innovative Environment: Work with cutting-edge technology in a fast-paced, innovative company.
• Career Growth: Opportunities for professional development and career advancement.
• Team Culture: Collaborate with a talented and motivated team dedicated to excellence and continuous improvement.

FEQ426R542

As a Sr. Enablement Specialist at Databricks, you will apply your expertise in enablement to lead the design, rollout, and adoption of enablement programs for Databricks Technical Support Engineers, including collaboration with Support leaders and SMEs and/or Technical Curriculum Developers.  Programs in your portfolio can include onboarding and everboarding motions focused on developing and maintaining technical and soft skills for Technical Support Engineers. 

As a member of the Databricks Support Enablement Team, you’ll be responsible for (1) keeping up to date with the latest and greatest that Databricks has to offer when it comes to Support, (2) work with our enablement team to fully understand the business needs and requirements for Support, (3) create high-impact programs for Support, and (4) work with a team of technical enablement specialists to curate and  design content needed for programs.

The impact you will have:

• Use your Databricks and Enablement expertise to lead the design, curate, and maintain enablement programs for Databricks Technical Support
• Work with subject-matter-experts and technical enablement specialists to scope needs for new courses and updates to existing ones 
• Drive improvements in Support KPIs through successful enablement programs (lagging indicators)

What we look for:

• Experience with enablement programs for technical audiences
• Experience with technical support best practices
• Experience with cross-functional stakeholder management
• Strong analytical skills and data-driven decision-making
• [Preferred] Experience designing and developing highly technical training

CSQ326R400

As a Resident Solutions Architect in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the Manager, Professional Services.

The impact you will have:

• You will work on a variety of impactful customer technical Big Data projects which may include building reference architectures, how-to's and production grade MVPs
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 10+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role
• 6+ years of experience working on Big Data Architectures independently
• Strong experience working in the Databricks ecosystem
• Comfortable writing code in either Python or Scala.
• Experience working across Cloud Platforms (GCP / AWS / Azure)
• Documentation and white-boarding skills.
• Build skills in technical areas that support the deployment and integration of Databricks-based solutions to complete customer projects.
• Willingness to travel for onsite customer engagements within India.

P-1408

The Mission

We are democratizing Data and AI for every enterprise user. Our vision is a world where anyone can master their organization’s data through Apps and AI Agents. We are building the retrieval backbone for two worlds: the high-precision context layer for AI agents and the intuitive search experience for people goal is the same: instant, accurate, and actionable insight.

The Role: 

• As a Search Quality Engineer, you sit at the heart of this transformation. You aren't just building a search engine; you are building the contextual backbone of the entire company.
• You will own the quality of results for two distinct but deeply connected "users":
• The AI Agent: Optimizing the retrieval layer that allows LLMs to reason over data they weren’t trained on, ensuring they have the "ground truth" needed  to synthesize accurate, high-stakes business actions.
• The Human User: Improving the traditional search experience so employees can find assets and answers through intuitive, high-recall interfaces.

The Technical Challenge

This isn't a solved problem. You will be tackling "Search" in its most evolved form:

• Hybrid Retrieval: Balancing traditional keyword-based search (for exactness) with semantic vector search (for intent).
• Dual-Optimization: Fine-tuning ranking models that satisfy both human readability and LLM-ready context.
• High-Stakes Accuracy: In a world of Agents, poor search quality leads to hallucinations. You will build the guardrails and relevance scoring that ensure our AI stays grounded in reality.
• Data Heterogeneity: Connecting the dots across structured SQL tables, unstructured docs, and real-time business metrics.

Why This is the Place to Be

• You will have a front-row seat to the Agentic revolution. If you want to solve the hardest problems in data discovery and see your work power the decision-making of thousands of people, let’s talk.

What We’re Looking For

• The IR Specialist: You know your way around Lucene/Elasticsearch, embeddings, and ranking algorithms.
• The Quality and Metrics Obsessive: You understand that "relevance" is subjective and love building evaluation frameworks (human-in-the-loop and LLM-based) to measure it. You are obsessed with relevance metrics (nDCG, MRR, Precision@K).
• The Bridge Builder: You’re excited to apply traditional Information Retrieval (IR) wisdom to the cutting-edge world of Retrieval-Augmented Generation (RAG).

P-1405

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. And we're only getting started in Bengaluru , India - across 10 new teams that we're setting up from scratch !

The Partner Ecosystem team’s mission at Databricks is to enrich and win customer workloads through seamless integrations with strategic partners, while also widening the partner ecosystem to include new partners and data applications. This team enables seamless connectivity between Databricks and a vast range of partner applications through SQLDrivers. This vital data integration work powers the majority of the company’s Data Warehousing revenue by allowing customers to effortlessly connect their applications to Databricks SQL. In addition to that, through products like Databricks Partner Connect, we are simplifying the discovery and integration process, allowing you to seamlessly incorporate your preferred tools directly within the Databricks platform. 

We are seeking an experienced Senior Engineer to join our Partner Ecosystem team. In this role, you will design, develop, and maintain SQL drivers that power the majority of the data warehousing traffic and critical infrastructure components that power our partner integrations. You'll focus on optimizing SQLDrivers for performance, improved reliability and telemetry to offer seamless connectivity to our partners and enterprise customers, while also maintaining open source repositories and actively engaging with the developer community. You will collaborate with cross-functional teams to define technical requirements, architect solutions, and implement robust systems that enable our partners to connect seamlessly to the Databricks platform, ultimately driving Data Warehousing revenue and customer satisfaction.

The impact you'll have:

As a Senior Software Engineer working on the Partner Ecosystem team, you will get to build and evolve a set of highly performant and resilient Databricks SQL connectors for partners and enterprise customers enabling them to connect to Databricks SQL seamlessly and derive meaningful insights from data. In addition to that, you will get to evolve our Partner Connect offering, helping grow the elite partner ecosystem within Databricks.You will achieve this by being customer obsessed, raising the bar on open source community engagement, being hands-on in building the product, closely collaborating with the product team. You’ll work on challenges such as:

• Building reliable SQL connectors
• Engage and grow the open source community around SQL connectors
• Work closely with the SQL server teams, delivering new features to the SQL connectors, as per customer needs.
• Work closely with product team to shape the future of Partner Connect, thus growing the partner ecosystem around Databricks

What We Look For

• BTech (or higher) in Computer Science, or a related field
• 7+ years of production level experience in one of: Java, Python, Go, or similar language
• Comfortable working towards a multi-quarter vision with incremental deliverables
• Proven track record in architecting, developing, deploying, and operating highly performant systems
• Experience with open source communities through maintaining or contributing to open source repositories
• Demonstrated ability to lead engineering projects across functional and organizational boundaries
• Ability to navigate ambiguity and work with stakeholders to bring clarity and design innovative solutions to complex problems

P-1394

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines.

Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the security and scale that is important to making customers successful on our platform.

We develop and operate one of the largest-scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

As a Senior Software engineer in the Observability team, you will develop observability solutions that provide insights into the health and performance of our products and infrastructure.

The impact you'll have:

• Establish standards for logging, metrics, and tracing.
• You will collaborate with different teams to identify metrics that allow engineers to observe how well the system and different subcomponents are performing.
• You will build tooling and infrastructure to allow components to efficiently emit, aggregate, and store metrics that can be displayed on dashboards and used for alerting.
• Ensure the scalability, performance, and reliability of systems by contributing to and executing the technical roadmap.
• Participate in on-call rotations and reduce incident response times to maintain operational excellence.
• Optimize platform and infrastructure by analyzing system expenses, enhancing visibility, promoting mindful usage, enforcing retention policies, streamlining queries, and right-sizing resources to reduce observability costs.

What we look for:

• BS (or higher) in Computer Science, or a related field.
• 7+ years of production-level experience in one of: Python, Java, Scala, C++, or similar languages.
• Experience in software development in large-scale distributed systems.
• Familiarity with metrics collection, health monitoring, and observability tools

P-1408

The Mission

We are democratizing Data and AI for every enterprise user. Our vision is a world where anyone can master their organization’s data through Apps and AI Agents. We are building the retrieval backbone for two worlds: the high-precision context layer for AI agents and the intuitive search experience for people goal is the same: instant, accurate, and actionable insight.

The Role: 

• As a Search Quality Engineer, you sit at the heart of this transformation. You aren't just building a search engine; you are building the contextual backbone of the entire company.
• You will own the quality of results for two distinct but deeply connected "users":
• The AI Agent: Optimizing the retrieval layer that allows LLMs to reason over data they weren’t trained on, ensuring they have the "ground truth" needed  to synthesize accurate, high-stakes business actions.
• The Human User: Improving the traditional search experience so employees can find assets and answers through intuitive, high-recall interfaces.

The Technical Challenge

This isn't a solved problem. You will be tackling "Search" in its most evolved form:

• Hybrid Retrieval: Balancing traditional keyword-based search (for exactness) with semantic vector search (for intent).
• Dual-Optimization: Fine-tuning ranking models that satisfy both human readability and LLM-ready context.
• High-Stakes Accuracy: In a world of Agents, poor search quality leads to hallucinations. You will build the guardrails and relevance scoring that ensure our AI stays grounded in reality.
• Data Heterogeneity: Connecting the dots across structured SQL tables, unstructured docs, and real-time business metrics.

Why This is the Place to Be

• You will have a front-row seat to the Agentic revolution. If you want to solve the hardest problems in data discovery and see your work power the decision-making of thousands of people, let’s talk.

What We’re Looking For

• The IR Specialist: You know your way around Lucene/Elasticsearch, embeddings, and ranking algorithms.
• The Quality and Metrics Obsessive: You understand that "relevance" is subjective and love building evaluation frameworks (human-in-the-loop and LLM-based) to measure it. You are obsessed with relevance metrics (nDCG, MRR, Precision@K).
• The Bridge Builder: You’re excited to apply traditional Information Retrieval (IR) wisdom to the cutting-edge world of Retrieval-Augmented Generation (RAG).

P-1408

The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of millions of assets. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. 

As our Search product continues to evolve, we are seeking a Staff Engineer to lead enhancements to our Search Quality. In 2025, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale.

Key Responsibilities

• Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. 
• Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. 
• Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. 
• Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.

What We’re Looking For

• BS+ (M.S. or PhD preferred) in Computer Science, or a related field.
• 10+ years experience developing search relevance systems at scale in production or in high-impact research environments.
• Experience applying LLM to search relevance
• Experience in one or more of the following:  
• Query understanding
• NLP
• Text mining
• Recommendations
• Personalization
• Discovery
• Conversational AI 
• Strong understanding of computer science fundamentals.
• Contributions to well-used open-source projects. 

Why Join Us?
At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!

P-1403

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready-to-use, point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files.

In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion capabilities and the lead for this role will need to work closely with other products to embed Connect into these surfaces.

We are looking for engineers with experience in core Database internals to join our Lakeflow Connect team. A key part of Connect is to extract data from OLTP systems while imposing minimal load on production systems. To do this efficiently we are building systems that use techniques such as incremental data capture, log parsing, etc. We are looking for engineers who continue to be hands on and are looking to make a large impact on an important problem for the company.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers
• Low level systems debugging, performance measurement & optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• A strong influencer or driver in the organization’s roadmap and direction.
• Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.
• Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).
• Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Experience in areas like Database replication, backup, transaction recovery at one of the major database vendors (Microsoft SQL Server , Oracle, IBM etc).
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience driving company initiatives towards customer satisfaction.

P-1407

The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of millions of assets. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. 

As our Search product continues to evolve, we are seeking multiple ML Engineers from junior levels to more senior levels to drive enhancements to our Search Quality. In 2026, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale.

Key Responsibilities

• Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. 
• Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. 
• Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. 
• Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.

What We’re Looking For

• BS+ (M.S. or PhD preferred) in Computer Science, or a related field.
• 6+ years experience developing search relevance systems at scale in production or in high-impact research environments.
• Experience applying LLM to search relevance
• Experience in one or more of the following:  
• Query understanding
• NLP
• Text mining
• Recommendations
• Personalization
• Discovery
• Conversational AI 
• Strong understanding of computer science fundamentals.
• Contributions to well-used open-source projects. 

Why Join Us?
At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!

P-1408

The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of millions of assets. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. 

As our Search product continues to evolve, we are seeking a Staff Engineer to lead enhancements to our Search Quality. In 2026, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale.

Key Responsibilities

• Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. 
• Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. 
• Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. 
• Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.

What We’re Looking For

• BS+ (M.S. or PhD preferred) in Computer Science, or a related field.
• 10+ years experience developing search relevance systems at scale in production or in high-impact research environments.
• Experience applying LLM to search relevance
• Experience in one or more of the following:  
• Query understanding
• NLP
• Text mining
• Recommendations
• Personalization
• Discovery
• Conversational AI 
• Strong understanding of computer science fundamentals.
• Contributions to well-used open-source projects. 

Why Join Us?
At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!

P-1403

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready-to-use, point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files.

In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion capabilities and the lead for this role will need to work closely with other products to embed Connect into these surfaces.

We are looking for engineers with experience in core Database internals to join our Lakeflow Connect team. A key part of Connect is to extract data from OLTP systems while imposing minimal load on production systems. To do this efficiently we are building systems that use techniques such as incremental data capture, log parsing, etc. We are looking for engineers who continue to be hands on and are looking to make a large impact on an important problem for the company.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers
• Low level systems debugging, performance measurement & optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).

What we look for:

• BS (or higher) in Computer Science, or a related field
• 6+ years of production level experience in one of: Python, Java, Scala, C++, or similar language.
• Experience developing large-scale distributed systems from scratch
• Experience in areas like Database replication, backup, transaction recovery at one of the major database vendors (Microsoft SQL Server , Oracle, IBM etc) is a plus to have.
• Hands-on experience in developing and operating backend systems.
• Ability to contribute effectively throughout all project phases, from initial design and development to implementation and ongoing operations, with guidance from senior team members.

P-1407

The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of millions of assets. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. 

As our Search product continues to evolve, we are seeking multiple ML Engineers from junior levels to more senior levels to drive enhancements to our Search Quality. In 2026, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale.

Key Responsibilities

• Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. 
• Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. 
• Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. 
• Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.

What We’re Looking For

• BS+ (M.S. or PhD preferred) in Computer Science, or a related field.
• 6+ years experience developing search relevance systems at scale in production or in high-impact research environments.
• Experience applying LLM to search relevance
• Experience in one or more of the following:  
• Query understanding
• NLP
• Text mining
• Recommendations
• Personalization
• Discovery
• Conversational AI 
• Strong understanding of computer science fundamentals.
• Contributions to well-used open-source projects. 

Why Join Us?
At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!

(P-1384)

About the Team

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. 

Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready-to-use, point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files.

In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion capabilities and the lead for this role will need to work closely with other products to embed Connect into these surfaces.

We are looking for a senior leader to run our Connect organization in India. This is a great opportunity to lead a key strategic initiative for Databricks. The ideal candidate would have experience leading teams that build Data infrastructure as well as interest/experience in running product centric organizations. We would also look for the ability to collaborate effectively across time zones as well organizational boundaries. 

The impact you will have:

• Solve real business needs at a large scale by applying your software engineering
• Ensure consistent delivery against milestones and strong alignment with the field working "two-in-a-box" with product leadership
• Evolve organizational structure to align with long term initiatives, build strong "5 ingredient" teams with good comms architecture
• Manage technical debt, including long term technical architecture decisions and balance product roadmap
• Leading and participating in technical, product, and design discussions 
• Building, managing, and operating a highly scalable services in the cloud
• Growing leaders on the team by providing coaching, mentorship, and growth opportunities
• Partnering with other engineering and product leaders on planning, prioritization and staffing
• Creating a culture of excellence on the team while leading with empathy

What we look for:

• 15+ years of industry experience building and supporting large-scale distributed systems
• Building, growing, and managing high-performance teams
• Ability to attract and hire engineers who meet the Databricks hiring principles
• Existing experience building and running cloud platforms -or- demonstrated ability to quickly learn new concepts in the SaaS space (e.g technical background and fast learner).
• Experience working cross-functionality with product management and directly with customers; ability to deeply understand product and customer personas.
• BS in Computer Science or Masters or PhD